Overview

Dataset statistics

Number of variables25
Number of observations70178
Missing cells71626
Missing cells (%)4.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.4 MiB
Average record size in memory200.0 B

Variable types

Numeric8
Categorical17

Warnings

tipo_persona has constant value "Natural" Constant
sueldo_smdlv is highly correlated with otros_ingresos_smdlv and 1 other fieldsHigh correlation
otros_ingresos_smdlv is highly correlated with sueldo_smdlvHigh correlation
año_credito is highly correlated with sueldo_smdlvHigh correlation
sueldo_smdlv is highly correlated with otros_ingresos_smdlv and 1 other fieldsHigh correlation
otros_ingresos_smdlv is highly correlated with sueldo_smdlvHigh correlation
año_credito is highly correlated with sueldo_smdlvHigh correlation
valor_credito_smdlv is highly correlated with cuotasHigh correlation
cuotas is highly correlated with valor_credito_smdlvHigh correlation
municipio_credito is highly correlated with municipio_expedicion and 2 other fieldsHigh correlation
municipio_expedicion is highly correlated with municipio_credito and 3 other fieldsHigh correlation
año_credito is highly correlated with otros_ingresos_smdlv and 1 other fieldsHigh correlation
forma_pago is highly correlated with sectorHigh correlation
municipio_nacimiento is highly correlated with municipio_credito and 3 other fieldsHigh correlation
Row is highly correlated with municipio_expedicion and 4 other fieldsHigh correlation
periodo_credito is highly correlated with RowHigh correlation
genero is highly correlated with RowHigh correlation
codeudor is highly correlated with RowHigh correlation
otros_ingresos_smdlv is highly correlated with año_credito and 1 other fieldsHigh correlation
tipo_cliente is highly correlated with estado_finalHigh correlation
sueldo_smdlv is highly correlated with año_credito and 1 other fieldsHigh correlation
sector is highly correlated with forma_pagoHigh correlation
estado_final is highly correlated with tipo_clienteHigh correlation
municipio_residencia is highly correlated with municipio_credito and 2 other fieldsHigh correlation
codeudor is highly correlated with tipo_personaHigh correlation
municipio_credito is highly correlated with tipo_persona and 1 other fieldsHigh correlation
tipo_venta is highly correlated with tipo_personaHigh correlation
tipo_cliente is highly correlated with tipo_persona and 1 other fieldsHigh correlation
tiene_casa_propia is highly correlated with tipo_personaHigh correlation
otros_ingresos is highly correlated with tipo_personaHigh correlation
municipio_expedicion is highly correlated with tipo_persona and 1 other fieldsHigh correlation
periodo_credito is highly correlated with tipo_personaHigh correlation
tipo_persona is highly correlated with codeudor and 15 other fieldsHigh correlation
forma_pago is highly correlated with tipo_persona and 1 other fieldsHigh correlation
estado_civil is highly correlated with tipo_personaHigh correlation
municipio_nacimiento is highly correlated with municipio_expedicion and 1 other fieldsHigh correlation
sector is highly correlated with tipo_persona and 1 other fieldsHigh correlation
procedencia is highly correlated with tipo_personaHigh correlation
genero is highly correlated with tipo_personaHigh correlation
estado_final is highly correlated with tipo_cliente and 1 other fieldsHigh correlation
municipio_residencia is highly correlated with municipio_credito and 1 other fieldsHigh correlation
sueldo_smdlv has 6371 (9.1%) missing values Missing
otros_ingresos_smdlv has 65254 (93.0%) missing values Missing
Row has unique values Unique

Reproduction

Analysis started2021-05-19 19:22:21.383617
Analysis finished2021-05-19 19:23:02.067640
Duration40.68 seconds
Software versionpandas-profiling v3.0.0
Download configurationconfig.json

Variables

Row
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct70178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42806.96224
Minimum37
Maximum87234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.4 KiB

Quantile statistics

Minimum37
5-th percentile4314.85
Q121083.25
median42292.5
Q364387.75
95-th percentile82649.15
Maximum87234
Range87197
Interquartile range (IQR)43304.5

Descriptive statistics

Standard deviation25042.91999
Coefficient of variation (CV)0.5850197884
Kurtosis-1.201263628
Mean42806.96224
Median Absolute Deviation (MAD)21652.5
Skewness0.03413537338
Sum3004106996
Variance627147841.7
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20471
 
< 0.1%
723741
 
< 0.1%
231981
 
< 0.1%
744171
 
< 0.1%
805621
 
< 0.1%
785151
 
< 0.1%
682761
 
< 0.1%
662291
 
< 0.1%
703271
 
< 0.1%
375111
 
< 0.1%
Other values (70168)70168
> 99.9%
ValueCountFrequency (%)
371
< 0.1%
381
< 0.1%
391
< 0.1%
401
< 0.1%
411
< 0.1%
421
< 0.1%
441
< 0.1%
451
< 0.1%
461
< 0.1%
471
< 0.1%
ValueCountFrequency (%)
872341
< 0.1%
872331
< 0.1%
872321
< 0.1%
872311
< 0.1%
872301
< 0.1%
872291
< 0.1%
872281
< 0.1%
872271
< 0.1%
872261
< 0.1%
872251
< 0.1%

procedencia
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size548.4 KiB
Nacional
70046 
Extranjero
 
132

Length

Max length10
Median length8
Mean length8.003761863
Min length8

Characters and Unicode

Total characters561688
Distinct characters13
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNacional
2nd rowNacional
3rd rowNacional
4th rowNacional
5th rowNacional

Common Values

ValueCountFrequency (%)
Nacional70046
99.8%
Extranjero132
 
0.2%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
nacional70046
99.8%
extranjero132
 
0.2%

Most occurring characters

ValueCountFrequency (%)
a140224
25.0%
o70178
12.5%
n70178
12.5%
N70046
12.5%
c70046
12.5%
i70046
12.5%
l70046
12.5%
r264
 
< 0.1%
E132
 
< 0.1%
x132
 
< 0.1%
Other values (3)396
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter491510
87.5%
Uppercase Letter70178
 
12.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a140224
28.5%
o70178
14.3%
n70178
14.3%
c70046
14.3%
i70046
14.3%
l70046
14.3%
r264
 
0.1%
x132
 
< 0.1%
t132
 
< 0.1%
j132
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N70046
99.8%
E132
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Latin561688
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a140224
25.0%
o70178
12.5%
n70178
12.5%
N70046
12.5%
c70046
12.5%
i70046
12.5%
l70046
12.5%
r264
 
< 0.1%
E132
 
< 0.1%
x132
 
< 0.1%
Other values (3)396
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII561688
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a140224
25.0%
o70178
12.5%
n70178
12.5%
N70046
12.5%
c70046
12.5%
i70046
12.5%
l70046
12.5%
r264
 
< 0.1%
E132
 
< 0.1%
x132
 
< 0.1%
Other values (3)396
 
0.1%

genero
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size548.4 KiB
Femenino
38372 
Masculino
31806 

Length

Max length9
Median length8
Mean length8.453218958
Min length8

Characters and Unicode

Total characters593230
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFemenino
2nd rowFemenino
3rd rowFemenino
4th rowFemenino
5th rowFemenino

Common Values

ValueCountFrequency (%)
Femenino38372
54.7%
Masculino31806
45.3%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
femenino38372
54.7%
masculino31806
45.3%

Most occurring characters

ValueCountFrequency (%)
n108550
18.3%
e76744
12.9%
i70178
11.8%
o70178
11.8%
F38372
 
6.5%
m38372
 
6.5%
M31806
 
5.4%
a31806
 
5.4%
s31806
 
5.4%
c31806
 
5.4%
Other values (2)63612
10.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter523052
88.2%
Uppercase Letter70178
 
11.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n108550
20.8%
e76744
14.7%
i70178
13.4%
o70178
13.4%
m38372
 
7.3%
a31806
 
6.1%
s31806
 
6.1%
c31806
 
6.1%
u31806
 
6.1%
l31806
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
F38372
54.7%
M31806
45.3%

Most occurring scripts

ValueCountFrequency (%)
Latin593230
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n108550
18.3%
e76744
12.9%
i70178
11.8%
o70178
11.8%
F38372
 
6.5%
m38372
 
6.5%
M31806
 
5.4%
a31806
 
5.4%
s31806
 
5.4%
c31806
 
5.4%
Other values (2)63612
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII593230
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n108550
18.3%
e76744
12.9%
i70178
11.8%
o70178
11.8%
F38372
 
6.5%
m38372
 
6.5%
M31806
 
5.4%
a31806
 
5.4%
s31806
 
5.4%
c31806
 
5.4%
Other values (2)63612
10.7%

estado_civil
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size548.4 KiB
Union Libre
27592 
Casado
21367 
Soltero
20056 
Viudo
 
723
Divorciado
 
440

Length

Max length11
Median length7
Mean length8.266422526
Min length5

Characters and Unicode

Total characters580121
Distinct characters21
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUnion Libre
2nd rowSoltero
3rd rowUnion Libre
4th rowCasado
5th rowSoltero

Common Values

ValueCountFrequency (%)
Union Libre27592
39.3%
Casado21367
30.4%
Soltero20056
28.6%
Viudo723
 
1.0%
Divorciado440
 
0.6%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
union27592
28.2%
libre27592
28.2%
casado21367
21.9%
soltero20056
20.5%
viudo723
 
0.7%
divorciado440
 
0.5%

Most occurring characters

ValueCountFrequency (%)
o90674
15.6%
i56787
9.8%
n55184
9.5%
r48088
 
8.3%
e47648
 
8.2%
a43174
 
7.4%
U27592
 
4.8%
27592
 
4.8%
L27592
 
4.8%
b27592
 
4.8%
Other values (11)128198
22.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter454759
78.4%
Uppercase Letter97770
 
16.9%
Space Separator27592
 
4.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o90674
19.9%
i56787
12.5%
n55184
12.1%
r48088
10.6%
e47648
10.5%
a43174
9.5%
b27592
 
6.1%
d22530
 
5.0%
s21367
 
4.7%
l20056
 
4.4%
Other values (4)21659
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
U27592
28.2%
L27592
28.2%
C21367
21.9%
S20056
20.5%
V723
 
0.7%
D440
 
0.5%
Space Separator
ValueCountFrequency (%)
27592
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin552529
95.2%
Common27592
 
4.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
o90674
16.4%
i56787
10.3%
n55184
10.0%
r48088
8.7%
e47648
8.6%
a43174
7.8%
U27592
 
5.0%
L27592
 
5.0%
b27592
 
5.0%
d22530
 
4.1%
Other values (10)105668
19.1%
Common
ValueCountFrequency (%)
27592
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII580121
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o90674
15.6%
i56787
9.8%
n55184
9.5%
r48088
 
8.3%
e47648
 
8.2%
a43174
 
7.4%
U27592
 
4.8%
27592
 
4.8%
L27592
 
4.8%
b27592
 
4.8%
Other values (11)128198
22.1%

edad
Real number (ℝ≥0)

Distinct72
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.58695033
Minimum18
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.4 KiB

Quantile statistics

Minimum18
5-th percentile27
Q135
median44
Q353
95-th percentile65
Maximum90
Range72
Interquartile range (IQR)18

Descriptive statistics

Standard deviation11.87598779
Coefficient of variation (CV)0.266355687
Kurtosis-0.3852201068
Mean44.58695033
Median Absolute Deviation (MAD)9
Skewness0.3162631899
Sum3129023
Variance141.0390859
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442751
 
3.9%
402406
 
3.4%
452290
 
3.3%
412258
 
3.2%
492202
 
3.1%
462126
 
3.0%
422066
 
2.9%
352063
 
2.9%
372017
 
2.9%
391946
 
2.8%
Other values (62)48053
68.5%
ValueCountFrequency (%)
183
 
< 0.1%
1931
 
< 0.1%
20129
 
0.2%
21187
 
0.3%
22317
 
0.5%
23428
 
0.6%
24513
0.7%
25787
1.1%
26944
1.3%
271096
1.6%
ValueCountFrequency (%)
902
 
< 0.1%
891
 
< 0.1%
882
 
< 0.1%
871
 
< 0.1%
855
 
< 0.1%
8440
0.1%
8348
0.1%
8220
< 0.1%
8149
0.1%
8041
0.1%

municipio_residencia
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size548.4 KiB
ARAUCA
28165 
TAME
19896 
Otros
10930 
ARAUQUITA
7883 
SARAVENA
3304 

Length

Max length9
Median length6
Mean length5.708384394
Min length4

Characters and Unicode

Total characters400603
Distinct characters17
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSARAVENA
2nd rowARAUCA
3rd rowTAME
4th rowTAME
5th rowARAUCA

Common Values

ValueCountFrequency (%)
ARAUCA28165
40.1%
TAME19896
28.4%
Otros10930
 
15.6%
ARAUQUITA7883
 
11.2%
SARAVENA3304
 
4.7%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
arauca28165
40.1%
tame19896
28.4%
otros10930
 
15.6%
arauquita7883
 
11.2%
saravena3304
 
4.7%

Most occurring characters

ValueCountFrequency (%)
A137952
34.4%
U43931
 
11.0%
R39352
 
9.8%
C28165
 
7.0%
T27779
 
6.9%
E23200
 
5.8%
M19896
 
5.0%
O10930
 
2.7%
t10930
 
2.7%
r10930
 
2.7%
Other values (7)47538
 
11.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter356883
89.1%
Lowercase Letter43720
 
10.9%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A137952
38.7%
U43931
 
12.3%
R39352
 
11.0%
C28165
 
7.9%
T27779
 
7.8%
E23200
 
6.5%
M19896
 
5.6%
O10930
 
3.1%
Q7883
 
2.2%
I7883
 
2.2%
Other values (3)9912
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
t10930
25.0%
r10930
25.0%
o10930
25.0%
s10930
25.0%

Most occurring scripts

ValueCountFrequency (%)
Latin400603
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A137952
34.4%
U43931
 
11.0%
R39352
 
9.8%
C28165
 
7.0%
T27779
 
6.9%
E23200
 
5.8%
M19896
 
5.0%
O10930
 
2.7%
t10930
 
2.7%
r10930
 
2.7%
Other values (7)47538
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII400603
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A137952
34.4%
U43931
 
11.0%
R39352
 
9.8%
C28165
 
7.0%
T27779
 
6.9%
E23200
 
5.8%
M19896
 
5.0%
O10930
 
2.7%
t10930
 
2.7%
r10930
 
2.7%
Other values (7)47538
 
11.9%

municipio_nacimiento
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size548.4 KiB
Otros
27641 
ARAUCA
21354 
TAME
12185 
ARAUQUITA
5248 
SARAVENA
3750 

Length

Max length9
Median length5
Mean length5.590085212
Min length4

Characters and Unicode

Total characters392301
Distinct characters17
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOtros
2nd rowARAUCA
3rd rowARAUCA
4th rowOtros
5th rowARAUCA

Common Values

ValueCountFrequency (%)
Otros27641
39.4%
ARAUCA21354
30.4%
TAME12185
17.4%
ARAUQUITA5248
 
7.5%
SARAVENA3750
 
5.3%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
otros27641
39.4%
arauca21354
30.4%
tame12185
17.4%
arauquita5248
 
7.5%
saravena3750
 
5.3%

Most occurring characters

ValueCountFrequency (%)
A103241
26.3%
U31850
 
8.1%
R30352
 
7.7%
O27641
 
7.0%
t27641
 
7.0%
r27641
 
7.0%
o27641
 
7.0%
s27641
 
7.0%
C21354
 
5.4%
T17433
 
4.4%
Other values (7)49866
12.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter281737
71.8%
Lowercase Letter110564
 
28.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A103241
36.6%
U31850
 
11.3%
R30352
 
10.8%
O27641
 
9.8%
C21354
 
7.6%
T17433
 
6.2%
E15935
 
5.7%
M12185
 
4.3%
Q5248
 
1.9%
I5248
 
1.9%
Other values (3)11250
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
t27641
25.0%
r27641
25.0%
o27641
25.0%
s27641
25.0%

Most occurring scripts

ValueCountFrequency (%)
Latin392301
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A103241
26.3%
U31850
 
8.1%
R30352
 
7.7%
O27641
 
7.0%
t27641
 
7.0%
r27641
 
7.0%
o27641
 
7.0%
s27641
 
7.0%
C21354
 
5.4%
T17433
 
4.4%
Other values (7)49866
12.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII392301
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A103241
26.3%
U31850
 
8.1%
R30352
 
7.7%
O27641
 
7.0%
t27641
 
7.0%
r27641
 
7.0%
o27641
 
7.0%
s27641
 
7.0%
C21354
 
5.4%
T17433
 
4.4%
Other values (7)49866
12.7%

municipio_expedicion
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size548.4 KiB
Otros
25980 
ARAUCA
24673 
TAME
12244 
ARAUQUITA
4532 
SARAVENA
2749 

Length

Max length9
Median length5
Mean length5.552936818
Min length4

Characters and Unicode

Total characters389694
Distinct characters17
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOtros
2nd rowARAUCA
3rd rowARAUCA
4th rowSARAVENA
5th rowARAUCA

Common Values

ValueCountFrequency (%)
Otros25980
37.0%
ARAUCA24673
35.2%
TAME12244
17.4%
ARAUQUITA4532
 
6.5%
SARAVENA2749
 
3.9%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
otros25980
37.0%
arauca24673
35.2%
tame12244
17.4%
arauquita4532
 
6.5%
saravena2749
 
3.9%

Most occurring characters

ValueCountFrequency (%)
A108106
27.7%
U33737
 
8.7%
R31954
 
8.2%
O25980
 
6.7%
t25980
 
6.7%
r25980
 
6.7%
o25980
 
6.7%
s25980
 
6.7%
C24673
 
6.3%
T16776
 
4.3%
Other values (7)44548
11.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter285774
73.3%
Lowercase Letter103920
 
26.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A108106
37.8%
U33737
 
11.8%
R31954
 
11.2%
O25980
 
9.1%
C24673
 
8.6%
T16776
 
5.9%
E14993
 
5.2%
M12244
 
4.3%
Q4532
 
1.6%
I4532
 
1.6%
Other values (3)8247
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
t25980
25.0%
r25980
25.0%
o25980
25.0%
s25980
25.0%

Most occurring scripts

ValueCountFrequency (%)
Latin389694
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A108106
27.7%
U33737
 
8.7%
R31954
 
8.2%
O25980
 
6.7%
t25980
 
6.7%
r25980
 
6.7%
o25980
 
6.7%
s25980
 
6.7%
C24673
 
6.3%
T16776
 
4.3%
Other values (7)44548
11.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII389694
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A108106
27.7%
U33737
 
8.7%
R31954
 
8.2%
O25980
 
6.7%
t25980
 
6.7%
r25980
 
6.7%
o25980
 
6.7%
s25980
 
6.7%
C24673
 
6.3%
T16776
 
4.3%
Other values (7)44548
11.4%

tipo_persona
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size548.4 KiB
Natural
70178 

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters491246
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNatural
2nd rowNatural
3rd rowNatural
4th rowNatural
5th rowNatural

Common Values

ValueCountFrequency (%)
Natural70178
100.0%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
natural70178
100.0%

Most occurring characters

ValueCountFrequency (%)
a140356
28.6%
N70178
14.3%
t70178
14.3%
u70178
14.3%
r70178
14.3%
l70178
14.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter421068
85.7%
Uppercase Letter70178
 
14.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a140356
33.3%
t70178
16.7%
u70178
16.7%
r70178
16.7%
l70178
16.7%
Uppercase Letter
ValueCountFrequency (%)
N70178
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin491246
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a140356
28.6%
N70178
14.3%
t70178
14.3%
u70178
14.3%
r70178
14.3%
l70178
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII491246
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a140356
28.6%
N70178
14.3%
t70178
14.3%
u70178
14.3%
r70178
14.3%
l70178
14.3%

tiene_casa_propia
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size548.4 KiB
Si
52510 
No
17668 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters140356
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSi
2nd rowNo
3rd rowNo
4th rowSi
5th rowSi

Common Values

ValueCountFrequency (%)
Si52510
74.8%
No17668
 
25.2%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
si52510
74.8%
no17668
 
25.2%

Most occurring characters

ValueCountFrequency (%)
S52510
37.4%
i52510
37.4%
N17668
 
12.6%
o17668
 
12.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter70178
50.0%
Lowercase Letter70178
50.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S52510
74.8%
N17668
 
25.2%
Lowercase Letter
ValueCountFrequency (%)
i52510
74.8%
o17668
 
25.2%

Most occurring scripts

ValueCountFrequency (%)
Latin140356
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
S52510
37.4%
i52510
37.4%
N17668
 
12.6%
o17668
 
12.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII140356
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S52510
37.4%
i52510
37.4%
N17668
 
12.6%
o17668
 
12.6%

sueldo_smdlv
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct511
Distinct (%)0.8%
Missing6371
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean104.9217327
Minimum3
Maximum600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.4 KiB

Quantile statistics

Minimum3
5-th percentile27
Q145
median75
Q3130
95-th percentile291
Maximum600
Range597
Interquartile range (IQR)85

Descriptive statistics

Standard deviation90.73711
Coefficient of variation (CV)0.8648075822
Kurtosis6.503499647
Mean104.9217327
Median Absolute Deviation (MAD)36
Skewness2.257684215
Sum6694741
Variance8233.223132
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
431370
 
2.0%
341347
 
1.9%
361284
 
1.8%
611211
 
1.7%
461149
 
1.6%
761143
 
1.6%
691107
 
1.6%
381090
 
1.6%
721086
 
1.5%
651068
 
1.5%
Other values (501)51952
74.0%
(Missing)6371
 
9.1%
ValueCountFrequency (%)
36
 
< 0.1%
43
 
< 0.1%
512
 
< 0.1%
619
 
< 0.1%
752
0.1%
824
 
< 0.1%
923
 
< 0.1%
10103
0.1%
1134
 
< 0.1%
1235
 
< 0.1%
ValueCountFrequency (%)
600214
0.3%
5991
 
< 0.1%
5971
 
< 0.1%
5931
 
< 0.1%
58841
 
0.1%
5866
 
< 0.1%
5846
 
< 0.1%
58210
 
< 0.1%
57612
 
< 0.1%
5751
 
< 0.1%

otros_ingresos
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size548.4 KiB
SIN OTROS INGRESOS
65254 
CON OTROS INGRESOS
 
4924

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters1263204
Distinct characters10
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSIN OTROS INGRESOS
2nd rowSIN OTROS INGRESOS
3rd rowSIN OTROS INGRESOS
4th rowSIN OTROS INGRESOS
5th rowSIN OTROS INGRESOS

Common Values

ValueCountFrequency (%)
SIN OTROS INGRESOS65254
93.0%
CON OTROS INGRESOS4924
 
7.0%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
ingresos70178
33.3%
otros70178
33.3%
sin65254
31.0%
con4924
 
2.3%

Most occurring characters

ValueCountFrequency (%)
S275788
21.8%
O215458
17.1%
N140356
11.1%
140356
11.1%
R140356
11.1%
I135432
10.7%
T70178
 
5.6%
G70178
 
5.6%
E70178
 
5.6%
C4924
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter1122848
88.9%
Space Separator140356
 
11.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S275788
24.6%
O215458
19.2%
N140356
12.5%
R140356
12.5%
I135432
12.1%
T70178
 
6.2%
G70178
 
6.2%
E70178
 
6.2%
C4924
 
0.4%
Space Separator
ValueCountFrequency (%)
140356
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1122848
88.9%
Common140356
 
11.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
S275788
24.6%
O215458
19.2%
N140356
12.5%
R140356
12.5%
I135432
12.1%
T70178
 
6.2%
G70178
 
6.2%
E70178
 
6.2%
C4924
 
0.4%
Common
ValueCountFrequency (%)
140356
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1263204
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S275788
21.8%
O215458
17.1%
N140356
11.1%
140356
11.1%
R140356
11.1%
I135432
10.7%
T70178
 
5.6%
G70178
 
5.6%
E70178
 
5.6%
C4924
 
0.4%

otros_ingresos_smdlv
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct210
Distinct (%)4.3%
Missing65254
Missing (%)93.0%
Infinite0
Infinite (%)0.0%
Mean54.36900894
Minimum1
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.4 KiB

Quantile statistics

Minimum1
5-th percentile9
Q120
median35
Q363
95-th percentile181
Maximum300
Range299
Interquartile range (IQR)43

Descriptive statistics

Standard deviation57.3246782
Coefficient of variation (CV)1.054363126
Kurtosis6.422729271
Mean54.36900894
Median Absolute Deviation (MAD)17
Skewness2.450988902
Sum267713
Variance3286.118731
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34155
 
0.2%
36151
 
0.2%
18148
 
0.2%
17126
 
0.2%
23125
 
0.2%
21123
 
0.2%
20119
 
0.2%
30110
 
0.2%
38107
 
0.2%
26103
 
0.1%
Other values (200)3657
 
5.2%
(Missing)65254
93.0%
ValueCountFrequency (%)
11
 
< 0.1%
329
 
< 0.1%
427
 
< 0.1%
517
 
< 0.1%
637
0.1%
775
0.1%
848
0.1%
937
0.1%
1080
0.1%
1142
0.1%
ValueCountFrequency (%)
30076
0.1%
2948
 
< 0.1%
29110
 
< 0.1%
2883
 
< 0.1%
2761
 
< 0.1%
2715
 
< 0.1%
2682
 
< 0.1%
2642
 
< 0.1%
2622
 
< 0.1%
2604
 
< 0.1%

municipio_credito
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size548.4 KiB
ARAUCA
29085 
TAME
20259 
Otros
8491 
ARAUQUITA
7539 
SARAVENA
4804 

Length

Max length9
Median length6
Mean length5.760836729
Min length4

Characters and Unicode

Total characters404284
Distinct characters17
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSARAVENA
2nd rowARAUCA
3rd rowTAME
4th rowTAME
5th rowARAUCA

Common Values

ValueCountFrequency (%)
ARAUCA29085
41.4%
TAME20259
28.9%
Otros8491
 
12.1%
ARAUQUITA7539
 
10.7%
SARAVENA4804
 
6.8%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
arauca29085
41.4%
tame20259
28.9%
otros8491
 
12.1%
arauquita7539
 
10.7%
saravena4804
 
6.8%

Most occurring characters

ValueCountFrequency (%)
A144543
35.8%
U44163
 
10.9%
R41428
 
10.2%
C29085
 
7.2%
T27798
 
6.9%
E25063
 
6.2%
M20259
 
5.0%
O8491
 
2.1%
t8491
 
2.1%
r8491
 
2.1%
Other values (7)46472
 
11.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter370320
91.6%
Lowercase Letter33964
 
8.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A144543
39.0%
U44163
 
11.9%
R41428
 
11.2%
C29085
 
7.9%
T27798
 
7.5%
E25063
 
6.8%
M20259
 
5.5%
O8491
 
2.3%
Q7539
 
2.0%
I7539
 
2.0%
Other values (3)14412
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
t8491
25.0%
r8491
25.0%
o8491
25.0%
s8491
25.0%

Most occurring scripts

ValueCountFrequency (%)
Latin404284
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A144543
35.8%
U44163
 
10.9%
R41428
 
10.2%
C29085
 
7.2%
T27798
 
6.9%
E25063
 
6.2%
M20259
 
5.0%
O8491
 
2.1%
t8491
 
2.1%
r8491
 
2.1%
Other values (7)46472
 
11.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII404284
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A144543
35.8%
U44163
 
10.9%
R41428
 
10.2%
C29085
 
7.2%
T27798
 
6.9%
E25063
 
6.2%
M20259
 
5.0%
O8491
 
2.1%
t8491
 
2.1%
r8491
 
2.1%
Other values (7)46472
 
11.5%

codeudor
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size548.4 KiB
SIN CODEUDOR
59449 
CON CODEUDOR
10729 

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters842136
Distinct characters10
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSIN CODEUDOR
2nd rowSIN CODEUDOR
3rd rowSIN CODEUDOR
4th rowSIN CODEUDOR
5th rowSIN CODEUDOR

Common Values

ValueCountFrequency (%)
SIN CODEUDOR59449
84.7%
CON CODEUDOR10729
 
15.3%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
codeudor70178
50.0%
sin59449
42.4%
con10729
 
7.6%

Most occurring characters

ValueCountFrequency (%)
O151085
17.9%
D140356
16.7%
C80907
9.6%
N70178
8.3%
70178
8.3%
E70178
8.3%
U70178
8.3%
R70178
8.3%
S59449
 
7.1%
I59449
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter771958
91.7%
Space Separator70178
 
8.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O151085
19.6%
D140356
18.2%
C80907
10.5%
N70178
9.1%
E70178
9.1%
U70178
9.1%
R70178
9.1%
S59449
 
7.7%
I59449
 
7.7%
Space Separator
ValueCountFrequency (%)
70178
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin771958
91.7%
Common70178
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
O151085
19.6%
D140356
18.2%
C80907
10.5%
N70178
9.1%
E70178
9.1%
U70178
9.1%
R70178
9.1%
S59449
 
7.7%
I59449
 
7.7%
Common
ValueCountFrequency (%)
70178
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII842136
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O151085
17.9%
D140356
16.7%
C80907
9.6%
N70178
8.3%
70178
8.3%
E70178
8.3%
U70178
8.3%
R70178
8.3%
S59449
 
7.1%
I59449
 
7.1%

sector
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size548.4 KiB
PRIVADO
64096 
PUBLICO
 
6081

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters491239
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPRIVADO
2nd rowPRIVADO
3rd rowPRIVADO
4th rowPRIVADO
5th rowPRIVADO

Common Values

ValueCountFrequency (%)
PRIVADO64096
91.3%
PUBLICO6081
 
8.7%
(Missing)1
 
< 0.1%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
privado64096
91.3%
publico6081
 
8.7%

Most occurring characters

ValueCountFrequency (%)
P70177
14.3%
I70177
14.3%
O70177
14.3%
R64096
13.0%
V64096
13.0%
A64096
13.0%
D64096
13.0%
U6081
 
1.2%
B6081
 
1.2%
L6081
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter491239
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
P70177
14.3%
I70177
14.3%
O70177
14.3%
R64096
13.0%
V64096
13.0%
A64096
13.0%
D64096
13.0%
U6081
 
1.2%
B6081
 
1.2%
L6081
 
1.2%

Most occurring scripts

ValueCountFrequency (%)
Latin491239
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
P70177
14.3%
I70177
14.3%
O70177
14.3%
R64096
13.0%
V64096
13.0%
A64096
13.0%
D64096
13.0%
U6081
 
1.2%
B6081
 
1.2%
L6081
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII491239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P70177
14.3%
I70177
14.3%
O70177
14.3%
R64096
13.0%
V64096
13.0%
A64096
13.0%
D64096
13.0%
U6081
 
1.2%
B6081
 
1.2%
L6081
 
1.2%

año_credito
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014.097637
Minimum1997
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.4 KiB

Quantile statistics

Minimum1997
5-th percentile2003
Q12011
median2015
Q32018
95-th percentile2020
Maximum2021
Range24
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.191496548
Coefficient of variation (CV)0.002577579384
Kurtosis0.6544374369
Mean2014.097637
Median Absolute Deviation (MAD)3
Skewness-1.080845656
Sum141345344
Variance26.95163641
MonotonicityNot monotonic
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20198742
12.5%
20186675
9.5%
20206618
9.4%
20156158
8.8%
20175891
 
8.4%
20165325
 
7.6%
20144718
 
6.7%
20134103
 
5.8%
20123728
 
5.3%
20113197
 
4.6%
Other values (15)15023
21.4%
ValueCountFrequency (%)
1997202
 
0.3%
1998378
 
0.5%
1999493
 
0.7%
2000552
0.8%
2001751
1.1%
2002747
1.1%
2003689
1.0%
2004888
1.3%
20051234
1.8%
20061336
1.9%
ValueCountFrequency (%)
2021471
 
0.7%
20206618
9.4%
20198742
12.5%
20186675
9.5%
20175891
8.4%
20165325
7.6%
20156158
8.8%
20144718
6.7%
20134103
5.8%
20123728
5.3%

mes_credito
Real number (ℝ≥0)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.840177834
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.4 KiB

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.472970209
Coefficient of variation (CV)0.5077309821
Kurtosis-1.210619449
Mean6.840177834
Median Absolute Deviation (MAD)3
Skewness-0.1077245625
Sum480030
Variance12.06152207
MonotonicityNot monotonic
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
127585
10.8%
106805
9.7%
96202
8.8%
55952
8.5%
75823
8.3%
115806
8.3%
65704
8.1%
85597
8.0%
35477
7.8%
25190
7.4%
Other values (2)10037
14.3%
ValueCountFrequency (%)
15068
7.2%
25190
7.4%
35477
7.8%
44969
7.1%
55952
8.5%
65704
8.1%
75823
8.3%
85597
8.0%
96202
8.8%
106805
9.7%
ValueCountFrequency (%)
127585
10.8%
115806
8.3%
106805
9.7%
96202
8.8%
85597
8.0%
75823
8.3%
65704
8.1%
55952
8.5%
44969
7.1%
35477
7.8%

valor_credito_smdlv
Real number (ℝ≥0)

HIGH CORRELATION

Distinct575
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.53674941
Minimum0
Maximum700
Zeros549
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size548.4 KiB

Quantile statistics

Minimum0
5-th percentile5
Q120
median47
Q377
95-th percentile220
Maximum700
Range700
Interquartile range (IQR)57

Descriptive statistics

Standard deviation73.4284282
Coefficient of variation (CV)1.120416085
Kurtosis12.4908735
Mean65.53674941
Median Absolute Deviation (MAD)28
Skewness2.91674412
Sum4599238
Variance5391.734068
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61738
 
2.5%
71524
 
2.2%
181061
 
1.5%
171025
 
1.5%
15971
 
1.4%
16966
 
1.4%
5928
 
1.3%
8924
 
1.3%
20806
 
1.1%
14796
 
1.1%
Other values (565)59439
84.7%
ValueCountFrequency (%)
0549
 
0.8%
1749
1.1%
2749
1.1%
3518
 
0.7%
4624
 
0.9%
5928
1.3%
61738
2.5%
71524
2.2%
8924
1.3%
9723
1.0%
ValueCountFrequency (%)
70051
0.1%
6971
 
< 0.1%
6951
 
< 0.1%
6911
 
< 0.1%
6871
 
< 0.1%
6821
 
< 0.1%
6771
 
< 0.1%
6761
 
< 0.1%
6751
 
< 0.1%
6711
 
< 0.1%

estado_final
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size548.4 KiB
PAGADO VENCIDO
38251 
PAGADO ANTICIPADO
19937 
PAGADO A TIEMPO
5725 
DESCUENTO EN VENTA
5243 
DEVOLUCION
 
517
Other values (2)
 
505

Length

Max length18
Median length14
Mean length15.21632135
Min length10

Characters and Unicode

Total characters1067851
Distinct characters17
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDESCUENTO EN VENTA
2nd rowPAGADO VENCIDO
3rd rowPAGADO VENCIDO
4th rowPAGADO VENCIDO
5th rowPAGADO ANTICIPADO

Common Values

ValueCountFrequency (%)
PAGADO VENCIDO38251
54.5%
PAGADO ANTICIPADO19937
28.4%
PAGADO A TIEMPO5725
 
8.2%
DESCUENTO EN VENTA5243
 
7.5%
DEVOLUCION517
 
0.7%
CARTERA CASTIGADA356
 
0.5%
OTROS CIERRES149
 
0.2%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
pagado63913
42.4%
vencido38251
25.4%
anticipado19937
 
13.2%
tiempo5725
 
3.8%
a5725
 
3.8%
venta5243
 
3.5%
en5243
 
3.5%
descuento5243
 
3.5%
devolucion517
 
0.3%
cartera356
 
0.2%
Other values (3)654
 
0.4%

Most occurring characters

ValueCountFrequency (%)
A180448
16.9%
O134401
12.6%
D128217
12.0%
P89575
8.4%
I84872
7.9%
80629
7.6%
N74434
7.0%
E66119
 
6.2%
C64809
 
6.1%
G64269
 
6.0%
Other values (7)100078
9.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter987222
92.4%
Space Separator80629
 
7.6%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A180448
18.3%
O134401
13.6%
D128217
13.0%
P89575
9.1%
I84872
8.6%
N74434
7.5%
E66119
 
6.7%
C64809
 
6.6%
G64269
 
6.5%
V44011
 
4.5%
Other values (6)56067
 
5.7%
Space Separator
ValueCountFrequency (%)
80629
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin987222
92.4%
Common80629
 
7.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
A180448
18.3%
O134401
13.6%
D128217
13.0%
P89575
9.1%
I84872
8.6%
N74434
7.5%
E66119
 
6.7%
C64809
 
6.6%
G64269
 
6.5%
V44011
 
4.5%
Other values (6)56067
 
5.7%
Common
ValueCountFrequency (%)
80629
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1067851
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A180448
16.9%
O134401
12.6%
D128217
12.0%
P89575
8.4%
I84872
7.9%
80629
7.6%
N74434
7.0%
E66119
 
6.2%
C64809
 
6.1%
G64269
 
6.0%
Other values (7)100078
9.4%

tipo_venta
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size548.4 KiB
ELECTRODOMESTICOS
69422 
MOTOS
 
747
CONTRATO
 
9

Length

Max length17
Median length17
Mean length16.87111345
Min length5

Characters and Unicode

Total characters1183981
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowELECTRODOMESTICOS
2nd rowELECTRODOMESTICOS
3rd rowELECTRODOMESTICOS
4th rowELECTRODOMESTICOS
5th rowELECTRODOMESTICOS

Common Values

ValueCountFrequency (%)
ELECTRODOMESTICOS69422
98.9%
MOTOS747
 
1.1%
CONTRATO9
 
< 0.1%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
electrodomesticos69422
98.9%
motos747
 
1.1%
contrato9
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
O209778
17.7%
E208266
17.6%
T139609
11.8%
S139591
11.8%
C138853
11.7%
M70169
 
5.9%
R69431
 
5.9%
L69422
 
5.9%
D69422
 
5.9%
I69422
 
5.9%
Other values (2)18
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter1183981
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O209778
17.7%
E208266
17.6%
T139609
11.8%
S139591
11.8%
C138853
11.7%
M70169
 
5.9%
R69431
 
5.9%
L69422
 
5.9%
D69422
 
5.9%
I69422
 
5.9%
Other values (2)18
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Latin1183981
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O209778
17.7%
E208266
17.6%
T139609
11.8%
S139591
11.8%
C138853
11.7%
M70169
 
5.9%
R69431
 
5.9%
L69422
 
5.9%
D69422
 
5.9%
I69422
 
5.9%
Other values (2)18
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1183981
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O209778
17.7%
E208266
17.6%
T139609
11.8%
S139591
11.8%
C138853
11.7%
M70169
 
5.9%
R69431
 
5.9%
L69422
 
5.9%
D69422
 
5.9%
I69422
 
5.9%
Other values (2)18
 
< 0.1%

periodo_credito
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size548.4 KiB
MENSUAL(ES)
65113 
DIARIA(S)
 
4063
SEMANAL(ES)
 
757
QUINCENAL(ES)
 
245

Length

Max length13
Median length11
Mean length10.89119097
Min length9

Characters and Unicode

Total characters764322
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDIARIA(S)
2nd rowDIARIA(S)
3rd rowDIARIA(S)
4th rowDIARIA(S)
5th rowDIARIA(S)

Common Values

ValueCountFrequency (%)
MENSUAL(ES)65113
92.8%
DIARIA(S)4063
 
5.8%
SEMANAL(ES)757
 
1.1%
QUINCENAL(ES)245
 
0.3%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
mensual(es65113
92.8%
diaria(s4063
 
5.8%
semanal(es757
 
1.1%
quincenal(es245
 
0.3%

Most occurring characters

ValueCountFrequency (%)
S136048
17.8%
E132230
17.3%
A74998
9.8%
(70178
9.2%
)70178
9.2%
N66360
8.7%
L66115
8.7%
M65870
8.6%
U65358
8.6%
I8371
 
1.1%
Other values (4)8616
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter623966
81.6%
Open Punctuation70178
 
9.2%
Close Punctuation70178
 
9.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S136048
21.8%
E132230
21.2%
A74998
12.0%
N66360
10.6%
L66115
10.6%
M65870
10.6%
U65358
10.5%
I8371
 
1.3%
D4063
 
0.7%
R4063
 
0.7%
Other values (2)490
 
0.1%
Open Punctuation
ValueCountFrequency (%)
(70178
100.0%
Close Punctuation
ValueCountFrequency (%)
)70178
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin623966
81.6%
Common140356
 
18.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
S136048
21.8%
E132230
21.2%
A74998
12.0%
N66360
10.6%
L66115
10.6%
M65870
10.6%
U65358
10.5%
I8371
 
1.3%
D4063
 
0.7%
R4063
 
0.7%
Other values (2)490
 
0.1%
Common
ValueCountFrequency (%)
(70178
50.0%
)70178
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII764322
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S136048
17.8%
E132230
17.3%
A74998
9.8%
(70178
9.2%
)70178
9.2%
N66360
8.7%
L66115
8.7%
M65870
8.6%
U65358
8.6%
I8371
 
1.1%
Other values (4)8616
 
1.1%

cuotas
Real number (ℝ≥0)

HIGH CORRELATION

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.932856451
Minimum0
Maximum14
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size548.4 KiB

Quantile statistics

Minimum0
5-th percentile1
Q11
median5
Q310
95-th percentile14
Maximum14
Range14
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.602834039
Coefficient of variation (CV)0.7758209013
Kurtosis-1.232829375
Mean5.932856451
Median Absolute Deviation (MAD)4
Skewness0.4461017486
Sum416356
Variance21.18608119
MonotonicityNot monotonic
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
120430
29.1%
108817
12.6%
58478
12.1%
147718
 
11.0%
34132
 
5.9%
24081
 
5.8%
123784
 
5.4%
63627
 
5.2%
42867
 
4.1%
92335
 
3.3%
Other values (5)3909
 
5.6%
ValueCountFrequency (%)
01
 
< 0.1%
120430
29.1%
24081
 
5.8%
34132
 
5.9%
42867
 
4.1%
58478
12.1%
63627
 
5.2%
7642
 
0.9%
81275
 
1.8%
92335
 
3.3%
ValueCountFrequency (%)
147718
11.0%
13254
 
0.4%
123784
5.4%
111737
 
2.5%
108817
12.6%
92335
 
3.3%
81275
 
1.8%
7642
 
0.9%
63627
5.2%
58478
12.1%

forma_pago
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size548.4 KiB
CRÉDITO
67745 
LIBRANZA
 
2433

Length

Max length8
Median length7
Mean length7.034668985
Min length7

Characters and Unicode

Total characters493679
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCRÉDITO
2nd rowCRÉDITO
3rd rowCRÉDITO
4th rowCRÉDITO
5th rowCRÉDITO

Common Values

ValueCountFrequency (%)
CRÉDITO67745
96.5%
LIBRANZA2433
 
3.5%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
crédito67745
96.5%
libranza2433
 
3.5%

Most occurring characters

ValueCountFrequency (%)
R70178
14.2%
I70178
14.2%
C67745
13.7%
É67745
13.7%
D67745
13.7%
T67745
13.7%
O67745
13.7%
A4866
 
1.0%
L2433
 
0.5%
B2433
 
0.5%
Other values (2)4866
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter493679
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R70178
14.2%
I70178
14.2%
C67745
13.7%
É67745
13.7%
D67745
13.7%
T67745
13.7%
O67745
13.7%
A4866
 
1.0%
L2433
 
0.5%
B2433
 
0.5%
Other values (2)4866
 
1.0%

Most occurring scripts

ValueCountFrequency (%)
Latin493679
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
R70178
14.2%
I70178
14.2%
C67745
13.7%
É67745
13.7%
D67745
13.7%
T67745
13.7%
O67745
13.7%
A4866
 
1.0%
L2433
 
0.5%
B2433
 
0.5%
Other values (2)4866
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII425934
86.3%
Latin 1 Sup67745
 
13.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
R70178
16.5%
I70178
16.5%
C67745
15.9%
D67745
15.9%
T67745
15.9%
O67745
15.9%
A4866
 
1.1%
L2433
 
0.6%
B2433
 
0.6%
N2433
 
0.6%
Latin 1 Sup
ValueCountFrequency (%)
É67745
100.0%

tipo_cliente
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size548.4 KiB
DUDOSO
38768 
APTO
25662 
ACEPTABLE
5392 
NEGATIVO
 
356

Length

Max length9
Median length6
Mean length5.50930491
Min length4

Characters and Unicode

Total characters386632
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowACEPTABLE
2nd rowDUDOSO
3rd rowDUDOSO
4th rowDUDOSO
5th rowAPTO

Common Values

ValueCountFrequency (%)
DUDOSO38768
55.2%
APTO25662
36.6%
ACEPTABLE5392
 
7.7%
NEGATIVO356
 
0.5%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
dudoso38768
55.2%
apto25662
36.6%
aceptable5392
 
7.7%
negativo356
 
0.5%

Most occurring characters

ValueCountFrequency (%)
O103554
26.8%
D77536
20.1%
U38768
 
10.0%
S38768
 
10.0%
A36802
 
9.5%
T31410
 
8.1%
P31054
 
8.0%
E11140
 
2.9%
C5392
 
1.4%
B5392
 
1.4%
Other values (5)6816
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter386632
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O103554
26.8%
D77536
20.1%
U38768
 
10.0%
S38768
 
10.0%
A36802
 
9.5%
T31410
 
8.1%
P31054
 
8.0%
E11140
 
2.9%
C5392
 
1.4%
B5392
 
1.4%
Other values (5)6816
 
1.8%

Most occurring scripts

ValueCountFrequency (%)
Latin386632
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O103554
26.8%
D77536
20.1%
U38768
 
10.0%
S38768
 
10.0%
A36802
 
9.5%
T31410
 
8.1%
P31054
 
8.0%
E11140
 
2.9%
C5392
 
1.4%
B5392
 
1.4%
Other values (5)6816
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII386632
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O103554
26.8%
D77536
20.1%
U38768
 
10.0%
S38768
 
10.0%
A36802
 
9.5%
T31410
 
8.1%
P31054
 
8.0%
E11140
 
2.9%
C5392
 
1.4%
B5392
 
1.4%
Other values (5)6816
 
1.8%

Interactions

Correlations

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

Rowprocedenciageneroestado_civiledadmunicipio_residenciamunicipio_nacimientomunicipio_expediciontipo_personatiene_casa_propiasueldo_smdlvotros_ingresosotros_ingresos_smdlvmunicipio_creditocodeudorsectoraño_creditomes_creditovalor_credito_smdlvestado_finaltipo_ventaperiodo_creditocuotasforma_pagotipo_cliente
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1101NacionalFemeninoSoltero27ARAUCAARAUCAARAUCANaturalNo27.0SIN OTROS INGRESOSNaNARAUCASIN CODEUDORPRIVADO2020930PAGADO VENCIDOELECTRODOMESTICOSDIARIA(S)14CRÉDITODUDOSO
2133NacionalFemeninoUnion Libre26TAMEARAUCAARAUCANaturalNo36.0SIN OTROS INGRESOSNaNTAMESIN CODEUDORPRIVADO20191123PAGADO VENCIDOELECTRODOMESTICOSDIARIA(S)14CRÉDITODUDOSO
3165NacionalFemeninoCasado47TAMEOtrosSARAVENANaturalSi52.0SIN OTROS INGRESOSNaNTAMESIN CODEUDORPRIVADO2012447PAGADO VENCIDOELECTRODOMESTICOSDIARIA(S)1CRÉDITODUDOSO
4197NacionalFemeninoSoltero50ARAUCAARAUCAARAUCANaturalSi52.0SIN OTROS INGRESOSNaNARAUCASIN CODEUDORPRIVADO201650PAGADO ANTICIPADOELECTRODOMESTICOSDIARIA(S)1CRÉDITOAPTO
5229NacionalFemeninoCasado45ARAUCAARAUCAARAUCANaturalSi48.0SIN OTROS INGRESOSNaNARAUCASIN CODEUDORPRIVADO20171248PAGADO A TIEMPOELECTRODOMESTICOSDIARIA(S)14CRÉDITOAPTO
6261NacionalFemeninoUnion Libre26TAMEARAUCAARAUCANaturalNo33.0SIN OTROS INGRESOSNaNTAMESIN CODEUDORPRIVADO2021129PAGADO ANTICIPADOELECTRODOMESTICOSDIARIA(S)14CRÉDITOAPTO
7293NacionalFemeninoSoltero30TAMETAMESARAVENANaturalNo38.0SIN OTROS INGRESOSNaNTAMESIN CODEUDORPRIVADO20181084DESCUENTO EN VENTAELECTRODOMESTICOSDIARIA(S)14CRÉDITOACEPTABLE
8325NacionalFemeninoSoltero61ARAUCAOtrosOtrosNaturalSi93.0CON OTROS INGRESOS27.0ARAUCASIN CODEUDORPRIVADO2015446PAGADO VENCIDOELECTRODOMESTICOSDIARIA(S)14CRÉDITODUDOSO
9357NacionalFemeninoSoltero59TAMEOtrosOtrosNaturalNo61.0SIN OTROS INGRESOSNaNTAMESIN CODEUDORPRIVADO2017915PAGADO VENCIDOELECTRODOMESTICOSDIARIA(S)14CRÉDITODUDOSO

Last rows

Rowprocedenciageneroestado_civiledadmunicipio_residenciamunicipio_nacimientomunicipio_expediciontipo_personatiene_casa_propiasueldo_smdlvotros_ingresosotros_ingresos_smdlvmunicipio_creditocodeudorsectoraño_creditomes_creditovalor_credito_smdlvestado_finaltipo_ventaperiodo_creditocuotasforma_pagotipo_cliente
7016887137NacionalMasculinoUnion Libre43ARAUCAARAUCAARAUCANaturalSi54.0SIN OTROS INGRESOSNaNARAUCASIN CODEUDORPRIVADO201910281PAGADO VENCIDOELECTRODOMESTICOSDIARIA(S)14CRÉDITODUDOSO
7016987169NacionalMasculinoSoltero51ARAUCAARAUCAARAUCANaturalSi43.0SIN OTROS INGRESOSNaNARAUCASIN CODEUDORPRIVADO20197148PAGADO VENCIDOELECTRODOMESTICOSDIARIA(S)14CRÉDITODUDOSO
7017087233NacionalMasculinoSoltero53SARAVENAOtrosOtrosNaturalNo58.0SIN OTROS INGRESOSNaNSARAVENASIN CODEUDORPRIVADO20061018PAGADO VENCIDOELECTRODOMESTICOSDIARIA(S)14CRÉDITODUDOSO
7017187052NacionalMasculinoCasado55TAMEARAUCAARAUCANaturalSi61.0SIN OTROS INGRESOSNaNTAMESIN CODEUDORPRIVADO2017821PAGADO ANTICIPADOELECTRODOMESTICOSDIARIA(S)14CRÉDITOAPTO
7017287084NacionalMasculinoUnion Libre40ARAUCAARAUCAARAUCANaturalSi145.0SIN OTROS INGRESOSNaNARAUCASIN CODEUDORPRIVADO2010153DESCUENTO EN VENTAELECTRODOMESTICOSDIARIA(S)14CRÉDITOACEPTABLE
7017387116NacionalMasculinoUnion Libre49ARAUCAARAUCAARAUCANaturalSi122.0CON OTROS INGRESOS101.0SARAVENASIN CODEUDORPUBLICO2017220PAGADO VENCIDOELECTRODOMESTICOSDIARIA(S)1CRÉDITODUDOSO
7017487148NacionalMasculinoUnion Libre43ARAUCASARAVENAARAUCANaturalNo43.0SIN OTROS INGRESOSNaNARAUCASIN CODEUDORPRIVADO201610154PAGADO VENCIDOELECTRODOMESTICOSDIARIA(S)14CRÉDITODUDOSO
7017587180NacionalMasculinoUnion Libre41ARAUCAARAUCAARAUCANaturalSi85.0SIN OTROS INGRESOSNaNARAUCASIN CODEUDORPRIVADO2020356PAGADO VENCIDOELECTRODOMESTICOSDIARIA(S)14CRÉDITODUDOSO
7017687212NacionalMasculinoCasado52TAMETAMESARAVENANaturalSi76.0SIN OTROS INGRESOSNaNTAMESIN CODEUDORPRIVADO2013572PAGADO VENCIDOELECTRODOMESTICOSDIARIA(S)1CRÉDITODUDOSO
7017787215NacionalMasculinoCasado71ARAUCAARAUCAARAUCANaturalSi146.0SIN OTROS INGRESOSNaNARAUCASIN CODEUDORPRIVADO2014163PAGADO VENCIDOELECTRODOMESTICOSDIARIA(S)14CRÉDITODUDOSO